A gis and remote sensing based analysis of determinants and extent of urban sprawl in the case of holota town, special zone of oromia, central Ethiopia

Abstract

Currently, urban sprawl is becoming a big problem in sub-Saharan African countries as cities are expanding without well planning. Therefore, the objective of this study is to assess spatio temporal Urban sprawl: in the Case of Holota town, Oromia Region, Ethiopia. GIS and remote sensing were used to analyze the phenomena of urban sprawl and its impacts. This thesis uses Geographic Information Systems (GIS) mapping and land cover change analysis, neighborhood statistics, community surveying, key-informant interviews with planners and developers, and planning documents to measure urban sprawl of the study area. Having employing the descriptive research methods, the researcher collected data based on both primary and secondary data. Research key informants' interviews, the researcher's participatory observation, GPS data, Satellite Image and documentary resources were tools to collect data. Data sources were both quantitative and qualitative data collection. The change detection method has been applied to investigate LULC Change. In order to achieve these, satellite data of Land sat TM for 1995, ETM for 2005 and 2017 have been obtained and processed using ERDAS IMAGINE 2010. The Maximum Likelihood Algorithm of Supervised Classification has been used to generate land use/land cover maps. For the accuracy of classified Land use/Land cover maps, a confusion matrix was used to derive overall accuracy and results were above the minimum and maximum threshold level. The satellite image results show that built up areas increased by (8.65%), (17.32%) and (32.32%) respectively in the first, the second and the entire study periods. While cultivated land, increases than all land use and land cover in the first, the second study period but grass land, and forest land, decreased in the first entire study